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\begin{tabular}{|l|l|l|l|}\hline \( \begin{array}{l}\text { A deck contains } 8 \text { cards labeled } 1 \text { through } 8 \text {. A card is randomly } \\ \text { selected and returned to the deck. The deck is shuffled. Then } \\ \text { another random selection is made. }\end{array} \) & \( \begin{array}{l}\text { Event A: The first } \\ \text { selection is a } 3 .\end{array} \) \\ \hline & \( \begin{array}{l}\text { Event B: The second } \\ \text { selection is a } 6 .\end{array} \) \\ \hline A family has two children. & \( \begin{array}{l}\text { Event A: The older } \\ \text { child is a girl. }\end{array} \) \\ \hline Event B: Both \\ children are girls. \\ \hline A number cube with sides labeled 1 through 6 is rolled twice. & \( \begin{array}{l}\text { Event A: The first roll } \\ \text { Is a } 4 .\end{array} \) \\ \hline Event B: The second \\ roll is a 5. & \\ \hline\end{tabular}

Ask by Campos Ball. in the United States
Feb 18,2025

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Answer

- **Deck of Cards**: The probability of selecting a 3 first and a 6 second is 1/64. - **Family with Two Children**: The probability that both children are girls given that the older child is a girl is 1/2. - **Number Cube**: The probability of rolling a 4 first and a 5 second is 1/36.

Solution

Let's analyze the scenarios presented in the table step by step, focusing on the events and their probabilities. ### Scenario 1: Deck of Cards 1. **Event A**: The first selection is a 3. 2. **Event B**: The second selection is a 6. **Calculating Probabilities:** - The probability of selecting a 3 on the first draw (Event A) is: \[ P(A) = \frac{1}{8} \] - The probability of selecting a 6 on the second draw (Event B) is: \[ P(B) = \frac{1}{8} \] Since the selections are independent (the card is returned to the deck), the joint probability of both events occurring is: \[ P(A \cap B) = P(A) \times P(B) = \frac{1}{8} \times \frac{1}{8} = \frac{1}{64} \] ### Scenario 2: Family with Two Children 1. **Event A**: The older child is a girl. 2. **Event B**: Both children are girls. **Calculating Probabilities:** - The possible combinations of two children (assuming equal probability for boys and girls) are: - Boy-Boy (BB) - Boy-Girl (BG) - Girl-Boy (GB) - Girl-Girl (GG) Given that the older child is a girl (Event A), the possible combinations are reduced to: - Girl-Girl (GG) - Girl-Boy (GB) Thus, the probability of Event A occurring is: \[ P(A) = \frac{2}{4} = \frac{1}{2} \] Now, given that the older child is a girl, the probability that both children are girls (Event B) is: \[ P(B | A) = \frac{1}{2} \] ### Scenario 3: Rolling a Number Cube 1. **Event A**: The first roll is a 4. 2. **Event B**: The second roll is a 5. **Calculating Probabilities:** - The probability of rolling a 4 on the first roll (Event A) is: \[ P(A) = \frac{1}{6} \] - The probability of rolling a 5 on the second roll (Event B) is: \[ P(B) = \frac{1}{6} \] Since the rolls are independent, the joint probability of both events occurring is: \[ P(A \cap B) = P(A) \times P(B) = \frac{1}{6} \times \frac{1}{6} = \frac{1}{36} \] ### Summary of Results - For the deck of cards: \( P(A \cap B) = \frac{1}{64} \) - For the family with two children: \( P(B | A) = \frac{1}{2} \) - For the number cube: \( P(A \cap B) = \frac{1}{36} \) These calculations provide a clear understanding of the probabilities associated with each scenario and the relationships between the events.

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The Deep Dive

The concept of probability dates back to ancient times, with roots in gambling and games of chance. The first formal studies emerged in the 16th century, particularly from mathematicians like Gerolamo Cardano. They examined the likelihood of events occurring, laying the groundwork for modern statistical theory. This rich history reveals how probability hasn't just been a theoretical concept but also a practical tool used in making decisions in uncertain situations. In the realm of real-world applications, probability plays a vital role in fields such as finance, healthcare, and marketing. For instance, in finance, analysts use probability to forecast market trends based on historical data. In healthcare, probability helps in predicting outcomes of treatments and understanding patient risks. This practical use of probability enables businesses and professionals to make informed decisions based on likely scenarios, turning chance into a strategic advantage.

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